Senior Machine Learning Engineer - AWS, Real-Time Inference, Pipelines
TWG Global AI1 month ago
Santa Monica, CA, USA or New York, NY, USASenior
Base Salary
$190k - $290k/yr
Responsibilities
- Build streaming and storage pipelines for model training and low-latency inference.
- Own and optimize the online inference path, including connecting the real-time detector microservice to a runtime model.
- Implement calibrated raw-score thresholding for single-account or single-wallet real-time scoring.
- Manage model retraining cadence as data and labels accumulate, including drift-triggered retraining.
- Productionize new features and detectors in partnership with data science.
Requirements
- Strong data or machine learning engineering experience with streaming systems such as Kafka, Kinesis, or MSK and modern data storage formats.
- Experience building low-latency, high-throughput inference services.
- Proficiency in a systems language such as Go alongside Python.
- Production AWS experience.
- Familiarity with financial market data or trading protocols is preferred, including FIX 5.0 SP2 concepts.
- Familiarity with chain-data infrastructure, node providers, subgraphs, and event indexing is preferred.
Benefits
- Onsite position based in the Santa Monica, California or New York, New York office.
- Medical, financial, and other benefits are provided.
- Bonus included as part of the compensation package.
Tech Stack
Categories
Data EngineeringML Engineering